Detrended fluctuation analysis detects altered coordination of running gait in athletes following a heavy period of training

Objectives

To investigate whether functional overreaching affects locomotor system behaviour when running at fixed relative intensities and if any effects were associated with changes in running performance.

For better or worse? Investigating the validity of best–worst discrete choice experiments in health

Discrete choice experiments (DCEs) are frequently used in health economics to measure preferences for nonmarket goods. Best–worst discrete choice experiment (BWDCE) has been proposed as a variant of the traditional “pick the best” approach. BWDCE, where participants choose the best and worst options, is argued to generate more precise preference estimates because of the additional information collected. However, the validity of the approach relies on two necessary conditions: (a) best and worst decisions provide similar information about preferences and (b) asking individuals to answer more than one choice question per task does not reduce data quality. Whether these conditions hold in empirical applications remains under researched. This is the first study to compare participants' choices across three experimental conditions: (a) BEST choices only, (b) WORST choices only, and (c) BEST and WORST choices (BWDCE). We find responses to worst choices are noisier. Implied preferences from the best only and worst only choices are qualitatively different, leading to different WTP values. Responses to BWDCE tasks have lower consistency, and respondents are more likely to use simplifying decision heuristics. We urge caution in using BWDCE as an alternative to the traditional “pick the best” DCE.     

Validation of PATHFx 2.0: An open-source tool for estimating survival in patients undergoing pathologic fracture fixation

Treatment decisions in patients with metastatic bone disease rely on accurate survival estimation. We developed the original PATHFx models using expensive, proprietary software and now seek to provide a more cost-effective solution. Using open-source machine learning software to create PATHFx version 2.0, we asked whether PATHFx 2.0 could be created using open-source methods and externally validated in two unique patient populations. The training set of a well-characterized, database records of 189 patients and the bnlearn package within R Version 3.5.1 (R Foundation for Statistical Computing), was used to establish a series of Bayesian belief network models designed to predict survival at 1, 3, 6, 12, 18, and 24 months. Each was externally validated in both a Scandinavian (n = 815 patients) and a Japanese (n = 261 patients) data set. Brier scores and receiver operating characteristic curves to assessed discriminatory ability. Decision curve analysis (DCA) evaluated whether models should be used clinically. DCA showed that the model should be used clinically at all time points in the Scandinavian data set. For the 1-month time point, DCA of the Japanese data set suggested to expect better outcomes assuming all patients will survive greater than 1 month. Brier scores for each curve demonstrate that the models are accurate at each time point. Statement of Clinical Significance: we successfully transitioned to PATHFx 2.0 using open-source software and externally validated it in two unique patient populations, which can be used as a cost-effective option to guide surgical decisions in patients with metastatic bone disease.     

Unexpected Return for Follow-up During the First Year of Multidisciplinary Care May Be Predictive of Rapid Deterioration of Renal Function

Multidisciplinary predialysis education and team care (MDC) may slow the decline in renal function in patients with chronic kidney disease (CKD). However, associations between unexpected return during MDC and progression of renal dysfunction have not been characterized in patients with CKD. Our study aimed to determine the association between exacerbation of renal dysfunction and the frequency of unexpected return during follow-up.A total of 437 patients with CKD receiving multidisciplinary care between January 2009 and June 2013 at the Shin-Kong Wu Ho-Su Memorial Hospital were included in this retrospective observational cohort study, and multiple imputations were performed for missing data. The predictor was the frequency of unexpected return for follow-up during the first year after entering MDC. Main outcome was monthly declines in estimated glomerular filtration rates (eGFR). Moreover, the demographic data, comorbidities, history of medication, and routine laboratory data for patients with CKD were collected.Among all patients, 59.7% were male, the mean age at initiation of MDC was 69.4 ± 13.2 years, and the duration of follow-up was 21.4 ± 3.3 months. The subjects were divided into 2 groups according to frequencies of follow-up (≤4 and > 4 visits) during the 1st year of MDC. The patients with CKD were regularly followed up every 3 months as a part of MDC in our hospital, and patients who returned for more than 4 follow-up visits were included in the unexpected return group. In crude regression analyses, unexpected return was significantly associated with higher monthly declines of eGFR (β = 0.092, 95% confidence interval, 0.014–0.170). This association remained after adjustments for multiple variables, and subgroup analyses of unexpected return showed that male gender, older age, CKD stage 1 to 3, hypertension, history of coronary artery disease, and use of renin–angiotensin system blockade were significantly associated with declines in renal function.In conclusion, unexpected return for follow-up during the 1st year of MDC was significantly associated with the deterioration of renal function.     

占永立教授从咽论治IgA肾病的理论与实践探析

本文从理论与临床实践2方面总结了占永立教授从咽论治IgA肾病的经验。占教授将Ig A肾病分为3型进行辨证论治:1)肺气不足,热毒扰咽证; 2)脾气虚弱,热邪客咽证; 3)肾阴亏虚,余热留咽证。治疗上以清热解毒利咽为主,兼以扶正,根据病情灵活选方用药,取得较好的临床疗效。     

亮氨酸氨基肽酶在妊娠妇女血清中的水平变化及其意义

目的:探讨血清亮氨酸氨基肽酶(LAP)在妊娠妇女不同时期血清中的变化规律及其临床意义。方法:选取2011年1月~2013年12月在该院产检的正常妊娠妇女180例,根据孕周分为早期组、中期组和晚期组,每组各60例,另选取60例健康未孕妇女为未孕组;同时选取该院收治的妊娠期高血压疾病妇女33例为妊娠期高血压疾病组、早产孕妇22例为早产组,采用速率法分别检测各组孕妇血清LAP水平并进行比较。结果:未孕组、早期组、中期组、晚期组妇女的血清LAP、血清肝胆酸(CG)、碱性磷酸酶(ALP)、α-L-岩藻糖苷酶(AFU)水平比较,差异有统计学意义(P均<0.05)。妊娠期高血压疾病组的CG、ALP、AFU、LAP水平显著高于早期组、中期组和晚期组(P均<0.05);早产组的CG、ALP、AFU、LAP水平显著高于早期组、中期组(P均<0.05),仅CG水平高于晚期组(P<0.05)。结论:随着妊娠周期的增加,妊娠妇女的血清LAP水平逐步升高,在合并妊娠期高血压疾病时LAP升高更加显著,结合CG、ALP、AFU水平的变化能够对妊娠期高血压疾病的发病情况进行动态监测。